From In-Out Duality to the Foundation of Social Quantum Mechanics

This paper introduces a framework of in-out duality, merging insights from quantum mechanics with social sciences to illuminate the complex interplay between internal potentialities and external manifestations. It articulates foundational, mathematical axioms (Entanglement, Homogeneity, Emergence, and Measurement) that underpin the dynamics of systems, emphasizing the interconnectedness and emergent behaviors resulting from internal and external interactions. By exploring quantum concepts like coherence, entanglement, and superposition, the paper proposes an interdisciplinary approach termed Quantum Social Mechanics. This approach challenges classical paradigms, advocating for a reevaluation of conventional notions through the lens of quantum principles. The paper argues that understanding the universe’s complexities requires a synthesis of motion states and potential states, suggesting a paradigm shift towards integrating quantum mechanics into the philosophical foundation of social theory. Through this comprehensive framework, the paper aims to foster a deeper understanding of the universe’s interconnected nature and the dynamic processes that govern the emergence of complex systems and behaviors.

区分还是融合?虚拟化团队工作模式下的员工工作-家庭平衡策略

虚拟化团队工作模式成为当前企业运作的一个发展趋势,产生了无边界的工作特征,工作和家庭领域高度重叠,改变了以往工作和家庭可区分的研究和实践前提。为此,学者开始提倡顺应无边界的发展趋势,促进工作和家庭融合。然而,基于这一管理思路的企业实践却导致了一系列负面效果。这让我们不禁重新思考:在虚拟化团队工作模式发展趋势下,我们更适合采用以往的工作-家庭区分思路,还是当前的工作-家庭融合思路,抑或是其他新的管理思路?为解决这一重要问题,本研究通过社会认同理论弥补资源保存理论在解释力上的不足,探讨团队虚拟性如何影响员工的工作-家庭整合行为,采用怎样的管理思路进行有效的干预以达到工作和家庭和谐发展的效果。本研究为数智化变革下的工作-家庭平衡研究构建了新的理论框架,推动该领域理论的进一步发展,有助于指导企业从新的管理思路促进工作和家庭和谐发展。

辟谣信息对社交媒体用户错误信息持续影响效应(CIE)的影响--基于知识修正理论

[目的/意义]通过研究社交媒体辟谣的要素对错误信息的持续影响效应(CIE)的影响,确定改善CIE的关键因素,进一步完善知识修正等相关理论,以遏制信息疫情的影响。[方法/过程]以知识修正理论为基础模型,采用问卷调查的方式对社交媒体用户进行回溯调查。从用户个人因素和辟谣信息因素两个维度构建了社交媒体辟谣对用户持续影响效应(CIE)的影响因素模型。为验证该模型的可靠性,采用Smart PLS软件进行分析。[结果/结论]网络辟谣信息对社交媒体用户持续影响效应(CIE)的影响主要受7个因素的影响:辟谣信息的频次、辟谣响应速度、个体的自信水平、辟谣信息的详尽程度、辟谣信息的来源、定向推理动机和辟谣信息内容认知能力。这7个因素共同调节了社交媒体用户的知识修正全过程。其中,辟谣信息的来源、定向推理动机和辟谣信息内容认知能力3个因素对用户消除CIE的效果起到相对主导性作用。

“双减”政策何以有效落地?基于“任务-主体-结构”的政策文本分析和对S省的调查

聚焦“双减”政策何以有效落地问题进行了两个新尝试。一是在研究范式上,从应然逻辑、实然状态和必然进路三个层面回应。二是在分析框架上,融合政策执行过程相关研究和结构化理论构建了突出目标导向、强化结构分析的“任务-主体-结构”政策执行过程模型,更契合我国复杂的政策执行环境。基于对“双减”政策文本和S省的落地实践分析发现:第一阶段的落地过程呈现出“运动式”治理的特征,但实际执行结构、落地条件和落地成效在内涵上远未达到设定目标。建议着力推动向“动员式”转型,以高质量教育体系建设为总抓手,有效回应家长对政策的价值需求。

基于扎根理论的工业遗产的社会价值研究--以大庆石油工业遗产为例

遗产的社会价值与遗产地的历史环境、社区居民的情感和记忆等因素相关,具有明显的地方性特征,因此最好将遗产的社会价值放到一定的地方情境中进行研究。基于此,文章从社区的研究角度出发,运用扎根理论的研究方法,以大庆石油工业遗产为例,基于遗产地居民对社会价值的认知,研究大庆石油工业遗产的社会价值,并讨论影响社会价值构成的因素。研究表明,大庆石油工业遗产社会价值由遗产认知、文化记忆、情感认同、文化环境、城市意象和遗产利用六方面构成,其价值构成会随着认知主体的社会背景、个体需求及认知主体与遗产时间间距的不同发生改变,具有多元、流动的特性。

Optimal social welfare:A many-to-many data transaction mechanism based on double auctions

With the development of Big Data and the Internet of Things(IoT),the data value is more significant in both academia and industry.Trading can achieve maximal data value and prepare data for smart city services.Due to data's unique characteristics,such as dispersion,heterogeneity and distributed storage,an unbiased platform is necessary for the data trading market with rational trading entities.Meanwhile,there are multiple buyers and sellers in a practical data trading market,and this makes it challenging to maximize social welfare.To solve these problems,this paper proposes a Social-Welfare-Oriented Many-to-Many Trading Mechanism(SOMTM),which integrates three entities,a trading process and an algorithm named Many-to-Many Trading Algorithm(MMTA).Based on the market scale,market dominated-side and market fixed-side,simulations verify the convergency,economic properties and efficiency of SOMTM.

Social Engineering Attack-Defense Strategies Based on Reinforcement Learning

Social engineering attacks are considered one of the most hazardous cyberattacks in cybersecurity,as human vulnerabilities are often the weakest link in the entire network.Such vulnerabilities are becoming increasingly susceptible to network security risks.Addressing the social engineering attack defense problem has been the focus of many studies.However,two main challenges hinder its successful resolution.Firstly,the vulnerabilities in social engineering attacks are unique due to multistage attacks,leading to incorrect social engineering defense strategies.Secondly,social engineering attacks are real-time,and the defense strategy algorithms based on gaming or reinforcement learning are too complex to make rapid decisions.This paper proposes a multiattribute quantitative incentive method based on human vulnerability and an improved Q-learning(IQL)reinforcement learning method on human vulnerability attributes.The proposed algorithm aims to address the two main challenges in social engineering attack defense by using a multiattribute incentive method based on human vulnerability to determine the optimal defense strategy.Furthermore,the IQL reinforcement learning method facilitates rapid decision-making during real-time attacks.The experimental results demonstrate that the proposed algorithm outperforms the traditional Qlearning(QL)and deep Q-network(DQN)approaches in terms of time efficiency,taking 9.1%and 19.4%less time,respectively.Moreover,the proposed algorithm effectively addresses the non-uniformity of vulnerabilities in social engineering attacks and provides a reliable defense strategy based on human vulnerability attributes.This study contributes to advancing social engineering attack defense by introducing an effective and efficient method for addressing the vulnerabilities of human factors in the cybersecurity domain.

An Extended Fuzzy-DEMATEL System for Factor Analyses on Social Capital Selection in the Renovation of Old Residential Communities

China has been promoting the renovation of old residential communities vigorously.Due to the financial pressure of the government and the sustainability of the renovation of old residential communities,public-private partnerships(PPP)have already gained attention.The selection of social capital is key to improving the efficiency of the PPP model in renovating old residential communities.In order to determine the influencing factors of social capital selection in the renovation of old residential communities,this paper aims to find an effective approach and analyze these factors.In this paper,a fuzzy decision-making and trial evaluation laboratory(fuzzy-DEMATEL)technique is extended and amore suitable systemis developed for the selection of social capital using the existing group decisionmaking theory.In the first stage,grounded theory is used to extract the unabridged key influencing factors for social capital selection in the renovation of old residential communities.Secondly,by considering the impact of expert weights,the key influencing factors are identified.The interactions within these influencing factors are discussed and the credibility of the results is verified by sensitivity analysis.Finally,these key influencing factors are sorted by importance.Based on the results,the government should focus on a technical level,organizationalmanagement abilities,corporate reputation,credit status,etc.This study provides the government with a theoretical basis and a methodology for evaluating social capital selection.

Corporate Social Responsibility and Green Innovation-The Mediating Effect of Financing Constraints

Green innovation has become a strategic direction for the country and enterprises,and it is an important facet in achieving high-quality economic development.Whether corporate social responsibility(CSR),as a key competitive strategy for achieving sustainable economic development,can promote corporate green innovation and the path of evolution has become a hot topic of current research.This paper takes Chinese manufacturing A share listed companies as its sample and uses Stata sofware to conduct regression analysis to test the relationship between CSR,financing constraints,and green innovation,respectively.It further distinguishes the sample into different technological properties and different regions to study the degree of differentiation of the mediating effect on financing constraints.The results show that CSR can not only directly promote corporate green innovation,but that it also can further positively influence corporate green innovation by alleviating financing constraints.Financing constraints play a mediating role in the relationship between CSR and green innovation,especially in enterprises with strong innovation demand and in regions with high levels of regional economic development.The findings enrich the research perspective on the relationship between CSR and green innovation and provide realistic data support for subsequent studies.

Resolving the“Matteo Ricci Puzzle”:Top-Level Design of the Grand Canal of China Based on the Ternary Leadership Theory

Guided by the ternary leadership theory from the perspective of social psychology,this paper explores the impacts of authoritarian,benevolent,and moral leadership on the top design of the Grand Canal of China in terms of its water management practice,while providing reference for resolving the“Matteo Ricci Puzzle”.The research findings are threefold:first,authoritarian as it is,the central government of China formulates relevant laws and regulations to provide legal system insurance for the construction of the Grand Canal Cultural Belt,thus providing the blueprint for constructing the“bright cultural belt,green ecological belt and colorful tourism belt of the Grand Canal”.Second,led by the Central Government,sticking to benevolent and moral leadership,China advocates scientific water management concepts and methods,and gives long-term and comprehensive care to the well-being of the people along the banks of the Grand Canal.Finally,the top-level design of the Grand Canal of China is based on the ternary leadership theory rooted in social psychology and has formulated a set of properly-scheduled,reasonably-coordinated,and flexibly-operated management system for the fundamental interests of the people and long-term goals of the country.

喀斯特旅游地虚拟旅游体验对实地旅游意愿的影响-以武隆喀斯特旅游区为例

文章以重庆市武隆喀斯特旅游区为例,采用游客问卷调查数据和结构方程模型,分析游客在喀斯特旅游区虚拟旅游体验后产生的心流体验以及对实地旅游意愿的影响。结果表明:喀斯特旅游地虚拟旅游体验对游客的注意力集中度、远程呈现、时间感的变化和实地旅游意愿均产生显著正向影响,注意力集中度发挥部分中介作用。建议武隆喀斯特旅游区加强以下建设:优化虚拟应用技术,营造更真实的虚拟旅游体验情境;提供全面优质的旅游信息,减少游客信息收集成本;扩大虚拟旅游宣传,赢得更多潜在游客。

Assessment of challenges and strategies for driving energy transitions in emerging markets:A socio-technological systems perspective

The pursuit of improved quality of life standards has significantly influenced the contemporary mining model in the 21st century.This era is witnessing an unprecedented transformation driven by pressing concerns related to sustainability,climate change,the just energy transition,dynamic operating environments,and complex social challenges.Such transitions present both opportunities and obstacles.The aim of this study is to provide an extensive literature review on energy transition to identify the challenges and strategies associated with navigating transformations in energy systems.Understanding these transformations is particularly critical in the face of the severe consequences of global warming,where an accelerated energy transition is viewed as a universal remedy.Adopting a socio-technological systems perspective,specifically through the application of Actor Network Theory(ANT),this research provides a theoretical foundation while categorising challenges into five distinct domains and outlining strategies across these different dimensions.These insights are specifically tailored for emerging market countries to effectively navigate energy transition while fostering the development of resilient societies.Furthermore,our findings highlight that energy transition encompasses more than a mere technological shift;it entails fundamental changes in various systemic socio-economic imperatives.Through focusing on the role of social structures in transitions,this study makes a significant and innovative contribution to ANT,which has historically been criticised for its limited acknowledgement of social structures.Consequently,we propose an emerging market energy transition framework,which not only addresses technological aspects,but also integrates social considerations.This framework paves the way for future research and exploration of energy transition dynamics.The outcomes of this study offer valuable insights to policymakers,researchers,and practitioners engaged in the mining industry,enabling them to comprehend the multifaceted challenges involved and providing practical strategies for effective resolution.Through incorporating the social dimension into the analysis,we enhance the understanding of the complex nature of energy system transformations,facilitating a more holistic approach towards achieving sustainable and resilient energy transitions in emerging markets and beyond.

Use of Social Cognitive Theory to Assess Salient Clinical Research in Chronic Disease Self-Management for Older Adults: An Integrative Review

The purpose of this integrative review is to evaluate research pertaining to self-management programs for older adults with chronic diseases using Albert Bandura’s Social Cognitive Theory (SCT) for behavior change. The focus is application of the SCT domains to self-management programs. The exploration of the current chronic disease self-management research provides an understanding of the Social Cognitive Theory concepts studied in interventional self-management research. The integrative review explicated two areas related to the theory in need of further research. First, social support has not been thoroughly explored as a mechanism for enhancing self-management interventions. Second, moral disengagement was not identified as a focus within chronic disease research raising the question about the impact of moral disengagement on long-term adherence and behavior change.

The Optimization Path of Research Support Services in University Libraries from the Perspective of Affordance Theory

University libraries,as an integral component of university research capabilities,are tasked with serving education by providing research support to faculty and students.This study adopts an affordance research perspective originating from ecological psychology to explore the optimization path of research support services in libraries in the new media era.Based on the characteristics of university library services,this research analyzes three aspects:production affordance,mobile affordance,and social affordance,and proposes practical recommendations to guide future research service practices of university libraries.

The Axiology of Consciousness in Mocombeian Consciousness Field Theory

This work explores the axiology of consciousness in Mocombe’s consciousness field in the material world.The paper critically assesses Mocombe’s consciousness field theory(CFT)within the larger body of contemporary ontological debates regarding the nature,origin,and constitution of consciousness in the universe.The work goes on to highlight the manifestation of Mocombe’s consciousness field in the material resource framework that is the earth,and the nature and origins of ethics and values.

Research of the DBN Algorithm Based on Multi-innovation Theory and Application of Social Computing

Aimed at the problems of small gradient, low learning rate, slow convergence error when the DBN using back-propagation process to fix the network connection weight and bias, proposing a new algorithm that combines with multi-innovation theory to improve standard DBN algorithm, that is the multi-innovation DBN(MI-DBN). It sets up a new model of back-propagation process in DBN algorithm, making the use of single innovation in previous algorithm extend to the use of innovation of the preceding multiple period, thus increasing convergence rate of error largely. To study the application of the algorithm in the social computing, and recognize the meaningful information about the handwritten numbers in social networking images. This paper compares MI-DBN algorithm with other representative classifiers through experiments. The result shows that MI-DBN algorithm, comparing with other representative classifiers, has a faster convergence rate and a smaller error for MNIST dataset recognition. And handwritten numbers on the image also have a precise degree of recognition.

畅通“双循环”的理论建构和回归路径--基于马克思社会再生产理论

马克思社会再生产理论表明社会再生产各个环节离不开生产、分配、交换、消费的动态平衡,当前我国处于以国内循环带动国外循环、构建国内国际双循环相互促进的新发展格局的重要时期,在经济发展势头良好的同时,要着重解决产业结构失衡、收入分配不均、要素流动等方面存在的困境,关键是稳定社会再生产的平衡。马克思社会再生产理论为我国构建新发展格局、建设全国统一大市场提供了理论指导,有助于我国抓住重要机遇,以扩大内需为战略基点,加快产业结构转型升级、缩小收入分配差距、推进供给侧结构性改革、建设更高水平的开放型经济,从而为双循环的互联互通提供重要支撑。

幼儿亲社会行为的习得及其教育策略--基于班杜拉社会学习理论

幼儿亲社会行为是一种积极的社会行为,是幼儿社会性发展的标志性表现形式。文章以社会学习理论为视角,以三元交互决定论为基础,以观察学习为习得途径,以强化为调控方式,对幼儿亲社会行为的习得进行路径探析,并提出构建良好的学习环境、树立优秀的学习榜样以及采取合理的强化手段等相应教育策略。

Incorporation of Xi Jinping Thought on Socialism with Chinese Char-acteristics for a New Era into Teaching of Ideological and Political Theories in Colleges and Universities--A Case Study of Accomplishments in Morality and Introduction to Law

Xi Jinping Thought on Socialism with Chinese Characteristics for a New Era is an important achievement of the 19 th National Congress of the Communist Party of China. Taking the course of accomplishments in morality and introduction to law as an example,the incorporation of Xi Jinping Thought on Socialism with Chinese Characteristics for a New Era into teaching of ideological and political theories in colleges and universities is discussed in this article from the three following aspects of why should be incorporated,what to be incorporated,and how to incorporate to promote the spread of Xi Jinping Thought on Socialism with Chinese Characteristics for a New Era among the student groups.